Director, Data & Information Architecture

Pivot Bio; Minnetonka (MN); On-site; USD 165,000 - 206,000; Full time

Benefits offered by this job

Incentive Bonus Plan

Stock options

Health/Dental/Vision insurance with employer-paid premiums

401(k) plan, 3% Match

Flexible vacation policy

Job summary

Pivot Bio is searching for a Director, Data & Information Architecture to lead the information architecture strategy. This role involves designing enterprise data models to enable robust analytics and product performance analysis.

The ideal candidate will have over 10 years of experience in data architecture along with proficiency in SQL and modern data platforms like Databricks. Located in Minnetonka, Minnesota, the company provides a competitive compensation package with benefits such as stock options and health insurance.

Qualifications

• 10+ years in Data Architecture or Information Architecture roles.
• Deep expertise in conceptual, logical, and physical data modeling.
• Experience in regulated environments preferred.

Responsibilities

• Define enterprise data models across various domains.
• Design logical and physical models within Databricks Lakehouse.
• Drive data governance practices for quality and trust.

Skills

Data Architecture

Information Architecture

SQL

Data Modeling

Data Governance

Tools

Databricks

Snowflake

Data Vault

Job description

About Pivot Bio

Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness naturally occurring microbes to provide nutrients to crops, helping farmers improve yields while reducing environmental impact.

Pivot Bio is seeking a Director, Data & Information Architecture to define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products. This role is responsible for establishing canonical data models, domain boundaries, data contracts, lineage standards, and governance patterns that enable trustworthy, decision‑grade data across the enterprise. Unlike traditional platform‑focused data architecture roles, this position is centered on information architecture: designing durable semantic models, traceability frameworks, and evidence systems that support product performance analysis, scientific discovery, operational execution, and AI‑enabled decision making.

What Success Looks Like

• Define canonical enterprise data models spanning R&D, Agronomy, Manufacturing, Commercial, and Digital domains.
• Establish domain ownership, data contracts, lineage, and reconciliation standards.
• Design logical and physical Lakehouse models supporting Silver and Gold layers.
• Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making.
• Provide a phased architecture roadmap for modernization and migration of existing data assets.
• Enable trustworthy AI and analytics through strong semantic foundations.

Key Responsibilities

• Own enterprise information architecture strategy and standards.
• Design canonical models, master data relationships, and cross‑domain integration patterns.
• Define semantic standards for observations, results, recommendations, outcomes, and evidence.
• Lead logical and physical data modeling efforts within Databricks Lakehouse.
• Establish metadata, lineage, versioning, and traceability frameworks.
• Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models.
• Review architecture designs and validate implementations through hands‑on modeling, SQL analysis, and proof‑of‑concept work.
• Drive data governance practices focused on quality, stewardship, reproducibility, and trust.

Preferred Experience

• 10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling.
• Deep expertise in conceptual, logical, and physical data modeling.
• Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage.
• Hands‑on experience with Databricks, Snowflake, or modern Lakehouse platforms.
• Strong SQL skills and ability to validate models directly against data.
• Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence‑sensitive environments preferred.
• Demonstrated ability to balance governance rigor with pragmatic execution.

What We Are Not Looking For

This role is not primarily a cloud infrastructure architect, integration engineer, or BI/reporting architect position. Success requires deep information architecture capability, including semantic modeling, domain design, lineage, traceability, and enterprise data stewardship.

Must be authorized to work in the United States.

What We Offer:

• Incentive Bonus Plan
• Competitive package in a disruptive startup
• Stock options
• Health/Dental/Vision insurance with employer‑paid premiums
• Life, Short‑Term and Long‑Term Disability policies
• Employee Assistance Program with free referrals and discounts
• 401(k) plan, 3% Match
• Commuter benefits
• Annual Training & Development support
• Flexible vacation policy with a generous holiday schedule
• Exciting opportunity to work with a talented and fun team

#LI-Onsite

Hiring Compensation Range

$165,000 — $206,000 USD